Active clinical trials for "Diabetes Mellitus, Type 2"

This study is aimed at calculating the incidence of nonalcoholic fatty liver disease (NAFLD), non- alcoholic steatohepatitis (NASH) cirrhosis and advanced fibrosis in patients with type 2 diabetes in China, evaluating the diagnostic efficacy of FibroTouch for hepatic steatosis and fibrosis in these patients, analyzing the long-term prognosis and screening potential risk factors in patients with both type 2 diabetes and NAFLD. This study will use FibroTouch to screen NAFLD, NASH cirrhosis and advanced fibrosis in patients with type 2 diabetes, compare the results with liver tissue biopsy to assess the clinical value of FibroTouch for the screening of NAFLD in diabetics, then investigate the clinical significance of FibroTouch in assessing the long-term prognosis of patients with diabetes and NAFLD in a prospective cohort, screen risk factors for diabetes with NAFLD and advanced fibrosis.

The Investigators are recruiting T2DM patients (n, 500) from Fortis-CDOC Hospital. Patients' weight, BMI, lipid profile, liver and kidney function tests, EGG, glycemic parameters, blood pressure, etc. will be entered in MS Excel sheets and appropriate data coding will be performed. Additional information on sleep hygiene, self-perceived stress, environmental pollution, and socio-economic status (education, occupation, and family annual income) will be collected by phone interviews. The entered data will be filtered for outliers and missing data will be excluded from the final data sheet. Johns Hopkins Team will perform the following: Mediation and moderation analysis, Machine Learning methods Deep Learning and Neural Networks to devise prediction models for different metrics, including diabetes, blood pressure, and lipid control. Traditional statistics like Propensity Score Matching and Multivariate Linear Regression Data pre-processing The data pre-processing will be performed to standardize the variables and minimize the impact of non-normality. During this step, the raw data would be converted into appropriate transformations. Python and R programming will be used for AI and machine learning methods. Data analysis Our research collaborators are well versed in techniques like multi-fold cross-validation, Synthetic Minority Oversampling Technique for Nominal and Continuous (SMOTE-NC), a widely used technique for balancing the observations only in the training dataset and not in the testing dataset, and hyper tuning of parameters. For our research, we would require a graphic processing unit (GPU) to perform high-quality and fast computing (especially important when analyzing large data sets through neural networks and machine learning). We have an understanding with ORACLE (a large software giant), for providing GPUs at no cost on a lease basis on the submission of a feasible proposal. Key Milestones Expected During the initial three months of the study, the plan is to obtain all requisite permissions for data gathering from the Institutional Ethics Review Committees of the respective institutions. The research assistant would be recruited from FORTIS-CDOC Hospital. Over the next 12 months, there will be data tabulation and gathering The last 3-4 months will be allocated to data analysis, application of AI algorithms (using training and testing datasets), and reporting of the data (meetings and manuscripts)

The aim of the study is to evaluate the efficacy of local Zambian food in improving metabolic profiles of overweight/obese type ll diabetic patients in Kitwe district

The investigators propose to deliver a 4-week sleep extension intervention to adolescents to evaluate feasibility of the protocol and obtain preliminary data on intra-individual changes in metabolic parameters induced by sleep extension.

A. Four groups of patients with type 2 diabetes mellitus with high or very high cardiovascular risk will be studied before and after 3 months of treatment: 40 patients treated with a combination of GLP1 analogue and SGLT2 inhibitor ± metformin 40 patients treated with GLP-1 agonist as a second step after metformin 40 patients treated with SGLT2 inhibitor as a second step after metformin 40 patients treated with a combination of insulin and other antidiabetic agents (metformin - DPP4inhibitors) Individuals will be equal distributed as far as age, gender and body mass index concerned. In addition, patients suffered from kidney disease and retinopathy are excluded.

GIOIA represents a multicenter pragmatic prospective cohort study, aimed at evaluating the effects of SGLT2 inhibitors currently marketed (dapagliflozin, canagliflozin, empagliflozin) on markers of vascular, myocardial and renal damage, in patients with type 2 diabetes not well controlled with metformin and/or basal insulin. The changes of the interest outcomes are compared with those obtained with a comparator glucose lowering class (DPP-4inhibitors) over a follow-up of two years.

The weight reduction obtained after a first bariatric surgery would improve the vascular (correction of endothelial dysfunction, improvement of arterial wall compliance and evolution of the atherothrombotic process) and microcirculatory function in obese patients with type-2 diabetes.

The situation of diabetes management in China is serious. To set up hierarchical medical system is necessary, though there was no mature or effective diabetes management model in the mainland. To explore a new path for hierarchical medical system, we would localize the share care model of diabetes management in Taiwan. Diabetic experts, diabetic educators and community doctors would use interactive information platform and self-glucose monitor with application on mobile phone to manage diabetic patients together. The model will be applied in six diabetic centers, and patients we will be managed in the new model and followed, and at the same time patients that managed in the conventional model in the real world, the differences of proportion who achieve a composite goal will be compared yearly for 5 years.

Nonalcoholic fatty liver disease (NAFLD) is currently the most common chronic liver disease worldwide and is a major cause of cirrhosis and liver cancer in Western countries. Because of its close association with obesity and diabetes, most patients are seen by primary care physicians and endocrinologists rather than hepatologists. Previous studies have shown that NAFLD is under-recognized outside specialist settings. As a result, many patients are undiagnosed and not receiving specific treatments. With this background, we aim to test the hypothesis that the use of simple fibrosis scores as part of a diabetes complications screening program followed by electronic reminder messages is more effective than usual care in prompting physicians to correctly identify patients with suspected NAFLD and advanced liver fibrosis for specialist referral or further liver assessment. Our secondary aim is to test the hypothesis that the use of fibrosis scores and electronic reminder messages can increase the number of patients with confirmed diagnosis of advanced liver fibrosis.

Brief Summary: The FREEDOM study aims to develop a scalable intervention to improve type 2 diabetes mellitus control in low-income Black adults in the Deep South. The intervention targets social determinants of health (SDoH) such as reduced healthcare access, poverty, transportation barriers, and food insecurity.